Scholar
Ziming Liu
Google Scholar ID: UPFptUwAAAAJ
PhD candidate of National University of Singapore
Citations & Impact
Citations
134
H-index
6
i10-index
2
Publications
12
Co-authors
10
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Released Expert-as-a-Service (EaaS) for MoE serving, Sep 22, 2025
- - One paper accepted by NeurIPS '25, Sep 18, 2025
- - Awarded the “Stars of Tomorrow” Certificate from MSRA (top 10% intern), Dec 9, 2024
- - Released RAS for efficient DiTs, Dec 9, 2024
- - One paper accepted by PPoPP 2025, Nov 12, 2024
- - One paper accepted by ASPLOS '25, Oct 3, 2024
- - Awarded the SoC Teaching Fellowship (3 out of all NUS CS PhD), Jun 27, 2024
- - One paper accepted by MLSYS 2024, Feb 16, 2024
- - One paper accepted by ICLR '24, Jan 15, 2024
- - One paper accepted by SC '23, Jun 17, 2023
Research Experience
- - Research Intern, Qiji Zhifeng, January 2025 – Present, working on large-scale MoE model serving system
- - Research Intern, Microsoft Research, May 2024 – November 2024, working on sparse inference and training of text-to-image and text-to-video models, supervised by Dr. Zhenhua Han and Dr. Yuqing Yang
- - Research Intern, HPC-AI Tech, May 2022 – December 2022, responsibilities include developing the efficient LLM inference system EnergonAI and optimizing the implementation of ColossalAI
- - Machine Learning Engineer, ByteDance, September 2020 – June 2021, NLP algorithm engineer at Lark, ByteDance
Education
- - PhD in Computer Science, National University of Singapore, January 2023 – Present, Advisor: Prof. Yang You
- - MSc in Artificial Intelligence, National University of Singapore, August 2021 – January 2023
- - BSc in Computer Science, Peking University, September 2016 – July 2020, Advisor: Prof. Tong Yang
Background
- Research Interests: Machine Learning Systems, High Performance Computing, Distributed Training & Inference, Sparse Inference & Training. About Me: Currently a third-year CS Ph.D. candidate at NUS, supervised by Prof. Yang You. Previously an intern at Microsoft Research, supervised by Dr. Zhenhua Han and Dr. Yuqing Yang.
Miscellany
- Looking forward to collaborations and research internship opportunities
